Content
# <img src="https://res.cloudinary.com/brandpad/image/upload/c_scale,dpr_auto,f_auto,w_1792/v1713826774/28444/tachometer-white-png" alt="Fastly Logo" height="25"> FastlyMCP [](https://www.linkedin.com/in/jack-w-richards/) [](https://smithery.ai/server/@Arodoid/fastlymcp)
Fastly MCP brings the power of Fastly's API directly to your AI assistants through the Model Context Protocol (MCP).
[](https://modelcontextprotocol.io/introduction)
[](https://nodejs.org/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/yourusername/fastly-mcp)
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### Fastly's API-First Approach
Fastly's API-first design philosophy means:
- **Everything is an API** - Every feature available in the Fastly UI is accessible via API
- **Programmatic Control** - Full control over services, configurations, and edge logic
- **Automation Ready** - Support for CI/CD workflows and infrastructure as code
- **Real-time Changes** - API changes propagate globally in seconds, not minutes or hours
## What Can I Do With Fastly API?
Fastly's [comprehensive API](https://www.fastly.com/documentation/reference/api/) allows you to:
- **Manage CDN Services** - Create, configure, and deploy content delivery services
- **Control Caching** - Set up cache strategies and perform instant purges
- **Configure Security** - Manage WAF, DDoS protection, and TLS certificates
- **Monitor Performance** - Access real-time metrics and historical stats
- **Implement Edge Logic** - Deploy custom VCL or Compute@Edge applications
- **Automate Workflows** - Integrate with CI/CD pipelines and infrastructure tools
### Your API Key Stays Safe!
The AI assistant never sees your Fastly API key. It talks to a local helper (FastlyMCP) which uses the key securely.
### What You Can Ask Your AI
With Fastly MCP configured, you can ask your AI assistant questions like:
| What You Want To Do | Example AI Request |
| ------------------- | ----------------------------------------------------------------- |
| List your services | "Show me all my Fastly services" |
| Get domain details | "What domains are configured for my e-commerce service?" |
| Purge cache | "Purge the cache for my product service" |
| Check traffic | "What's the traffic pattern for my main site over the last week?" |
| View configuration | "Show me the backend servers for my API service" |
| Check performance | "What's my current cache hit ratio?" |
### "What the traffic pattern my for services over the last week?"
<img src="https://github.com/user-attachments/assets/14958973-b8a9-426b-aa27-470bea012d7d" alt="2025-04-16-09-13-35" width="500"/>
### "List all my Fastly services and their domains."
<img src="https://github.com/user-attachments/assets/08550182-b3d9-4534-8bf4-bec7cb951465" alt="2025-04-16-09-13-35" width="500"/>
### "Build an interactive preformance dashboard about my Fastly serivce."
<img src="https://github.com/user-attachments/assets/542b0b42-af5e-4a18-b88a-5ab2eee22214" alt="2025-04-16-09-13-35" width="600"/>
## Getting Started
### Prerequisites
- A Fastly account and API key ([Get started with Fastly](https://www.fastly.com/signup/))
- An AI assistant that supports MCP (e.g., Claude, GPT with plugins)
- The Fastly CLI installed ([Installation Guide](https://www.fastly.com/documentation/reference/cli/))
### Connect Your AI Assistant
Configure your AI assistant with:
```json
{
"mcpServers": {
"fastly": {
"command": "node",
"args": ["path/to/fastly-mcp.mjs"],
"env": {
"FASTLY_API_KEY": "your_fastly_api_key"
}
}
}
}
```
## Advanced Operation Examples
| Task Goal | Example AI Request |
| :------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------- |
| Optimize service based on traffic | "Analyze the configuration for `[service_id/name]` and suggest optimizations based on its traffic profile, prioritizing low latency." |
| Configure for live video | "Configure `[service_id/name]` for optimal live video streaming following the best practices outlined in `[link_to_guide_or_doc]`." |
| Find config conflicts | "Identify potential configuration conflicts in `[service_id/name]` compared to standard e-commerce delivery patterns." |
| Optimize video chunk caching | "Optimize caching for `[service_id/name]` to handle 10-second video chunks efficiently, minimizing origin load." |
| Enhance WAF security | "Review the WAF rules for `[service_id/name]` and suggest stricter settings to mitigate potential SQL injection attacks." |
| Set up origin mTLS | "Set up Mutual TLS (mTLS) authentication between Fastly and the origin servers for `[service_id/name]`." |
| Implement A/B testing (Edge) | "Deploy a Compute@Edge function to `[service_id/name]` that performs A/B testing by routing 10% of users to backend `[backend_name]`." |
| Add dynamic image rewriting (VCL) | "Write and deploy VCL for `[service_id/name]` to dynamically rewrite image URLs based on the requesting device's user agent." |
| Troubleshoot 5xx errors | "Analyze logs for `[service_id/name]` from the past 24 hours to identify the root cause of the recent spike in 5xx errors." |
## Learn More
- [Fastly API Documentation](https://www.fastly.com/documentation/reference/api/)
- [Model Context Protocol](https://modelcontextprotocol.io/introduction)
- [Getting Started with Fastly](https://docs.fastly.com/en/guides/start-here)
## License
This project is licensed under the MIT License - see the LICENSE file for details.
